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Communication Dans Un Congrès Année : 2018

Radar Target Recognition using Time-Frequency Analysis and Polar Transformation

Jean-Christophe Cexus
Abdelmalek Toumi


A new method for Automatic Radar Targets Recognition is presented based on Inverse Synthetic Aperture Radar ISAR). In this work, the first step is to construct ISAR images via a Non uniformly Sampled Bivariate Empirical Mode Decomposition Time-Frequency Distribution (NSBEMD-TFD) method. Indeed, this Time-Frequency representation is well suited for non-stationary signals analysis and provides high resolution with good accuracy. The obtained ISAR images is used to provide the evolution of two-dimensional spatial distribution of a moving target and, therefore, its are suitable to be used for radar target recognition tasks. In second step, a feature vectors are extracted from each ISAR images in order to describe the discriminative informations about a target. In the features extraction step, we computed several rings of polar space applied on ISAR image. Then, these rings is projected on 1-D vector. To ensure translation invariance of the obtained projected 1-D vector, a Fourier Descriptors are computed. In third step of this work, the recognition task is achieved using k-Nearest Neighbors (KNN), Fuzzy k-NN, Neural network and Bayesian classifiers. To validate our approach, simulation results are presented on a set of several targets constituted by ideal point scatterers models.
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Dates et versions

hal-01809365 , version 1 (06-06-2018)



Jean-Christophe Cexus, Abdelmalek Toumi. Radar Target Recognition using Time-Frequency Analysis and Polar Transformation. 4th International Conference on Advanced Technologies For Signal and Image Processing (ATSIP'2018), Mar 2018, Sousse, Tunisia. ⟨10.1109/ATSIP.2018.8364500⟩. ⟨hal-01809365⟩
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